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A Microrobotic System for Simultaneous Measurement of Turgor Pressure and Cell-Wall Elasticity of Individual Growing Plant Cells

Burri, Jan T; Vogler, Hannes; Munglani, Gautam; Laubli, Nino F; Grossniklaus, Ueli; Nelson, Bradley J (2019). A Microrobotic System for Simultaneous Measurement of Turgor Pressure and Cell-Wall Elasticity of Individual Growing Plant Cells. IEEE Robotics and Automation Letters, 4(2):641-646.

Abstract

Plant growth and morphogenesis is directed by cell division and the expansion of individual cells. How the tightly controlled process of cell expansion is regulated is poorly understood. We introduce a microrobotic platform able to separately measure the turgor pressure and cell wall elasticity of individual growing, turgid cells by combining microindentation with cell compression experiments. The system independently controls two indenters with geometries at different scales. Indentation measurements are performed automatically by deforming the cells with indenters with a spatial resolution in the nanometer range while recording force and displacement. The dual-indentation technique offers a noninvasive, high-throughput method to characterize the cytomechanics of single turgid cells by separately measuring elasticity and turgor pressure. In this way, the expansion regulation of growing cells can be investigated, as demonstrated here using Lilium longiflorum pollen tubes as an example.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Department of Plant and Microbial Biology
07 Faculty of Science > Zurich-Basel Plant Science Center
Dewey Decimal Classification:580 Plants (Botany)
Scopus Subject Areas:Physical Sciences > Control and Systems Engineering
Physical Sciences > Biomedical Engineering
Physical Sciences > Human-Computer Interaction
Physical Sciences > Mechanical Engineering
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Computer Science Applications
Physical Sciences > Control and Optimization
Physical Sciences > Artificial Intelligence
Uncontrolled Keywords:Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications
Language:English
Date:1 April 2019
Deposited On:04 Feb 2020 12:55
Last Modified:04 Sep 2024 03:40
Publisher:Institute of Electrical and Electronics Engineers
ISSN:2377-3766
Additional Information:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/lra.2019.2892582
Project Information:
  • Funder: SNSF
  • Grant ID: CR32I3_156724
  • Project Title: Acid growth theory - a fundamental concept of plant development revisited

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